Tried twentyhq/twenty Today: An Open CRM Built for AI

twentyhq/twenty is an open-source alternative to Salesforce: a modern CRM for managing companies, people, opportunities, tasks, and workflows. Its appeal is not just the UI—it is the combination of self-hosting, extensibility, and an architecture that can be adapted for AI-assisted sales operations.

The repository gained +58 stars today, suggesting growing interest from teams that want Salesforce-like workflows without locking customer data and automation into a proprietary platform.

Quick technical read

For AI developers, the interesting pattern is CRM data becoming structured context for agents: lead qualification, follow-up drafting, account summarization, and pipeline updates. I would still isolate write actions behind approval steps—CRM automation can create expensive mistakes when permissions are too broad.

A standard OpenAI-compatible setup can look like this:

export OPENAI_API_KEY="your-b-lost-key"
export OPENAI_BASE_URL="https://b-lost.com/v1"
export OPENAI_MODEL="claude-fable-5"

Or in a Node client:

import OpenAI from "openai";

const ai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  baseURL: "https://b-lost.com/v1",
});

const result = await ai.chat.completions.create({
  model: "claude-fable-5",
  messages: [
    { role: "system", content: "You are a CRM workflow assistant." },
    { role: "user", content: "Summarize this opportunity and suggest next steps." }
  ]
});

For long account histories, B-Lost’s native Anthropic /v1/messages support and prompt caching are worth testing: cache hits advertise a 90% discount, which can materially reduce recurring context costs. The relay also lists a 20% official-price discount and a first-deposit bonus, but teams should benchmark actual TTFT, reliability, and model quality before switching production traffic.